ICRA 2012 Paper Abstract


Paper TuB02.6

Powell, Matthew (Texas A&M University), Huihua, Zhao (University of Texas A&M), Ames, Aaron (Texas A&M University)

Motion Primitives for Human-Inspired Bipedal Robotic Locomotion: Walking and Stair Climbing

Scheduled for presentation during the Regular Session "Human Like Biped Locamotion" (TuB02), Tuesday, May 15, 2012, 11:45−12:00, Meeting Room 2 (Chief Red Wing)

2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, RiverCentre, Saint Paul, Minnesota, USA

This information is tentative and subject to change. Compiled on May 21, 2018

Keywords Humanoid and Bipedal Locomotion, Biologically-Inspired Robots, Formal Methods for Robotics and Automation


This paper presents an approach to the development of bipedal robotic control techniques for multiple locomotion behaviors. Insight into the fundamental behaviors of human locomotion is obtained through the examination of experimental human data for walking on flat ground, upstairs and downstairs. Specifically, it is shown that certain outputs of the human, independent of locomotion terrain, can be characterized by a single function, termed the extended canonical human function. Optimized functions of this form are tracked via feedback linearization in simulations of a planar robotic biped walking on flat ground, upstairs and downstairs - these three modes of locomotion are termed "motion primitives". A second optimization is presented, which yields controllers that evolve the robot from one motion primitive to another - these modes of locomotion are termed "motion transitions". A final simulation is given, which shows the controlled evolution of a robotic biped as it transitions through each mode of locomotion over a pyramidal staircase.



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